Development of an Emergency Braking System for Teleoperated Vehicles Based on Lidar Sensor Data

Johannes Wallner, Tito Tang, Markus Lienkamp

2014

Abstract

A lidar-based approach of an emergency braking system for teleoperated vehicles is presented. Despite the time delay for the communication link of a teleoperated system, the vehicle has to be able to react to emerging objects in time. Starting with intelligent sensor data processing, reliable information is computed. An adapted particle filter algorithm tracks moving points to calculate their mean velocity, used for the prediction of surrounding moving objects. Further, in order to interpret this information, a situation assessment based on an intervention concept derived from Kamm’s circle is implemented. A motion prediction of possible trajectories of the ego-vehicle results in a clear decision-making process. All calculations are made at the raw data level and can be done online. Through artificial objects being included in real sensor data, the methodology was validated.

References

  1. Almeida, J. and Araujo, R. (2008). Tracking multiple moving objects in a dynamic environment for autonomous navigation. 2008 10th IEEE International Workshop on Advanced Motion Control, pages 21-26.
  2. Biral, F., Da Lio, M., and Bertolazzi, E. (2005). Combining safety margins and user preferences into a driving criterion for optimal control-based computation of reference maneuvers for an ADAS of the next generation. In 2005 IEEE Intelligent Vehicles Symposium proceedings, pages 36-41, Las Vegas, Nevada, USA.
  3. Chen, J., Haas, E. C., and Barnes, M. J. (2007). Human performance issues and user interface design for teleoperated robots. IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 37(6):1231-1245.
  4. Diermeyer, F., Gnatzig, S., Chucholowski, F., Tang, T., and Lienkamp, M. (2011). Der Mensch als Sensor - Der Weg zum teleoperierten Fahren. In AAET 2011 - Automatisierungssysteme, Assistenzsysteme und eingebettete Systeme fuer Transportmittel Symposium am 09. und 10.02.2011, pages 119- 135. Inteligente Transport- und Verkehrssysteme und -dienste Niedersachsen e.V., Braunschweig.
  5. Getreuer, P. (2009). Writing Fast MATLAB Code.
  6. Gnatzig, S., Chucholowski, F., Tang, T., and Lienkamp, M. (2013). A System Design for Teleoperated Road Vehicles. In ICINCO2013, 10th International Conference on Informatics in Control, Automation and Robotics, pages 231-238, Reykjavik.
  7. Gnatzig, S., Schuller, F., and Lienkamp, M. (2012). Humanmachine interaction as key technology for driverless driving - A trajectory-based shared autonomy control approach. In 2012 IEEE RO-MAN: The 21st IEEE International Symposium on Robot and Human Interactive Communication, pages 913-918, Paris. IEEE.
  8. Grover, C., Knight, I., Okoro, F., Simmons, I., Couper, G., Massie, P., and Smith, B. (2013). Automated emergency brake systems: Technical requirements, costs and benefits. TRL Limited.
  9. Hackenberg, U. and Heißing, B. (1982). Die fahrdynamischen Leistungen des Fahrer-Fahrzeug-Systems im Straßenverkehr. ATZ, 84:341-345.
  10. Hong, D., Kang, H.-J., and Yoon, P. (2008). Control Concept for Forward Collision Warning and Mitigation. In Proceedings of the 17th World Congress - The International Federation of Automatic Control, pages 8532-8533, Seoul.
  11. Jansson, J., Johansson, J., and Gustafsson, F. (2002). Decision making for collision avoidance systems. Society of Automotive Engineers, Inc.
  12. Kämpchen, N. (2007). Feature-Level Fusion of Laser Scanner and Video Data for Advanced Driver Assistance Systems. Dissertation, Universität Ulm.
  13. Kopischke, S. (2000). Entwicklung einer Notbremsfunktion mit Rapid- Prototyping- Methoden. Dissertation, Technische Universität Carolo-Wilhelmina zu Braunschweig.
  14. Ristic, B., Arulampalam, S., and Gordon, N. (2004). Beyond the Kalman filter: Particle filters for tracking applications. Artech House.
  15. Schmidt, C., Oechsle, F., and Branz, W. (2005). Untersuchungen zu letztm öglichen Ausweichmanövern für stehende und bewegte Hindernisse. In 3. FASWorkshop, Walting.
  16. Stämpfle, M. and Branz, W. (2008). Kollisionsvermeidung im Längsverkehr - die Vision vom unfallfreien Fahren rückt näher. In 3. Tagung Aktive Sicherheit durch Fahrerassistenz, München.
  17. Tang, T., Kurkowski, J., and Lienkamp, M. (2013). Teleoperated Road Vehicles : A Novel Study on the Effect of Blur on Speed Perception. International Journal of Advanced Robotic Systems, 10.
  18. Thrun, S. (2013). Car localization with particle filter. In Lecture: Artificial Intelligence for Robotics, chapter 3.
  19. Thuy, M. and Puente Leon, F. (2009). Non-linear, shape independent object tracking based on 2D lidar data. 2009 IEEE Intelligent Vehicles Symposium, pages 532-537.
  20. Ware, J. and Pan, Y.-J. (2011). Realisation of a bilaterally teleoperated robotic vehicle platform with passivity control. IET Control Theory & Applications, 5(8):952-962.
  21. Wegscheider, M. and Prokop, G. (2005). Modellbasierte Komfortbewertung von Fahrerassistenzsystemen. VDI Berichte, 1900:17-36.
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Paper Citation


in Harvard Style

Wallner J., Tang T. and Lienkamp M. (2014). Development of an Emergency Braking System for Teleoperated Vehicles Based on Lidar Sensor Data . In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO, ISBN 978-989-758-040-6, pages 569-576. DOI: 10.5220/0005114905690576


in Bibtex Style

@conference{icinco14,
author={Johannes Wallner and Tito Tang and Markus Lienkamp},
title={Development of an Emergency Braking System for Teleoperated Vehicles Based on Lidar Sensor Data},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,},
year={2014},
pages={569-576},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005114905690576},
isbn={978-989-758-040-6},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 2: ICINCO,
TI - Development of an Emergency Braking System for Teleoperated Vehicles Based on Lidar Sensor Data
SN - 978-989-758-040-6
AU - Wallner J.
AU - Tang T.
AU - Lienkamp M.
PY - 2014
SP - 569
EP - 576
DO - 10.5220/0005114905690576